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How to store and search memories with plain HTTP calls with Deepmem

Use curl against the memories API to add facts and query them, from any language.

Short answer: Get a key or run your own server; then POST a message to /v1/memories with a user_id; POST a query to /v1/memories/search. All steps.

Credentials. The bearer token in these requests authorizes reads of stored memories.

Who it is forA developer prototyping memory for a bot written in a language without a client library.

The problemSDKs are not available for every stack.

The outcomeWorking add and search requests you can port to any HTTP client.

What you need first

  • Python
  • Docker for self-hosting with Qdrant, or a DeepMem Cloud key
  • An LLM provider for fact extraction

Steps

  1. Get a key or run your own server
  2. POST a message to /v1/memories with a user_id
  3. POST a query to /v1/memories/search
  4. Port the requests into your bot

Prompt for your agent

Using the DeepMem HTTP API, add the message <text> for user <id> with infer false, then search <question>. Return the matched memory and confirm it belongs to that user.

Caveat. The README's benchmark claims come from the project itself; reproduce them before relying on the numbers.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for deepmemteam/deepmem and "Store and search memories with plain HTTP calls"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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